Social Listening on TikTok helps decode the consumer behavior of Gen Y and Gen Z

Social Listening on TikTok helps decode the consumer behavior of Gen Y and Gen Z

Social Listening on TikTok helps decode the consumer behavior of Gen Y and Gen Z

In a context where TikTok has become the platform dominating young people’s attention, brands not only need to be present—they must deeply understand, appear at the right moment, lead trends, and speak the same language as customers. One strategic tool to achieve this is Social Listening—especially when applied correctly on the short-video platform that is “taking the world by storm.”

TikTok – Where Gen Z and Millennials Shape Modern Consumer Trends

Gen Z and Millennials have become the two main consumer forces, reshaping how brands approach, communicate with, and build customer loyalty. They are not just buyers—they are also creators, inspirers, and the center of every conversation on social media.

According to a report by We Are Social x Meltwater (February 2025), TikTok users in Vietnam are heavily concentrated in two main age groups: ages 18–24 account for 23%, including 11.3% female and 11.7% male users; meanwhile, the 25–34 age group accounts for 32.9%, including 16.0% female and 16.9% male users. Thus, more than 55% of TikTok users in Vietnam are between 18 and 34 years old—a clear indication that TikTok is not only an entertainment platform, but also a strategic channel for brands to connect with, research, and accompany today’s most dynamic and influential young consumer generation.

Why Does TikTok Have Such Deep Influence on Consumer Behavior?

TikTok has a profound influence on consumer behavior because it possesses a highly personalized content distribution mechanism that drives engagement and natural emotional spread. User-generated content (UGC) offers authenticity and is easier to trust than traditional advertising. Viral trends such as #TikTokMadeMeBuyIt can lead to purchase decisions in just minutes.

In addition, features like duet, stitch, and comments make users part of the brand story. More importantly, content-based search behavior rather than product-based search helps brands be discovered naturally. TikTok not only affects what young people watch, but also shapes how they shop, evaluate, and share products, becoming an ideal “behavior radar station” for brands to understand new-generation consumers.

How to Research Consumer Behavior on TikTok?

Researching consumers on TikTok is no longer simply about observing trends or counting views—it requires a multi-layered, continuous, and contextual analysis system. 

1. Content and Trend Analysis (Content & Trend Analysis)

Brands can start by monitoring:

  • Trending hashtags in the category, target community, or those indirectly related to products/services.

  • Popularly used sounds, because many TikTok trends are tied to a signature music clip—thereby expressing emotions or messages behind sharing behavior.

  • Viral content types: reviews, challenges, tutorials, parody, etc.—each format reflects a different type of consumer behavior (discovery, validation, sharing).

2. Tracking Community Interaction (User Behavior & Engagement Signals)

Analyzing comments, shares, and responses (reaction, duet, stitch) helps brands:

  • Capture consumers’ real emotions when faced with products, content, or messages.

  • Discover implicit insights from how users agree or argue back.

  • Identify potential customer segments and community influencers (micro-KOLs) spreading new consumption trends.

3. Classifying Behavior by Consumer Journey (Customer Journey Mapping)

Data from TikTok can be systematized by each stage of consumer behavior:

  • At the Awareness stage, consumers are often exposed to content such as trend-introduction videos, creative ads, or viral hashtags. 

  • At the Consideration stage, they watch review videos, compare products, and consult community opinions in the comment section. 

  • At the Action stage, conversion behavior becomes more evident through clicking links in bio, purchasing via livestream, or following accounts. 

  • At the Loyalty stage, users tend to create brand-related content themselves, share experiences, and provide feedback in video form, contributing to organic community spread.

Applying Social Listening to Systematize Behavioral Data on TikTok

TikTok delivers a massive, continuous, and behavior-rich volume of data—from videos, captions, and sounds to comments and hashtag trends. However, due to its “unstructured data” nature and high volatility speed, effectively extracting and using this information requires analytical technology intervention—specifically Social Listening.

The Role of Social Listening in the TikTok Context

  1. Standardizing and structuring unstructured data: Social Listening helps convert short videos and comments into quantifiable or categorizable data—laying the foundation for trend and behavior analysis.

  2. Analyzing discussion topics and sentiment: Social Listening uses Natural Language Processing (NLP) technology combined with AI to identify sentiment and context surrounding a brand or topic.

  3. Connecting cross-platform data: One of Social Listening’s greatest strengths is its ability to connect multi-platform data: TikTok is only one of many channels where consumers interact. Integrating information from other platforms such as Facebook, Instagram, YouTube, forums, news media, etc. helps brands determine consistency in behavior or sentiment, identify signs of change along the customer journey, and see whether trends on TikTok spread to other platforms and vice versa.

  4. Generating actionable insight
    Ultimately, Social Listening does not stop at describing data—it aims to interpret causes, forecast outcomes, and recommend actions. Brands can use analytical models to:

    • Track message spread levels

    • Forecast communication risks early

    • Identify key influential audiences or communities

    • Optimize content or advertising strategies for each consumption stage

Social Listening on TikTok – A Golden Opportunity for Brands to Understand and Accompany the New Consumer Generation

In an era where consumers continuously express opinions, emotions, and needs through digital behavior—TikTok has become the clearest channel reflecting consumer movement. To keep up with and stay proactive before these changes, brands need more than presence—they need the capability to listen and analyze behavior in real time. Social Listening is the strategic tool that turns data into actionable insight. 

Kompa provides a multi-platform Social Listening solution, supporting businesses in tracking data from TikTok and many other social channels—thereby deeply understanding target consumers, measuring campaign effectiveness, managing reputation, and leading trends.

In a context where TikTok has become the platform dominating young people’s attention, brands not only need to be present—they must deeply understand, appear at the right moment, lead trends, and speak the same language as customers. One strategic tool to achieve this is Social Listening—especially when applied correctly on the short-video platform that is “taking the world by storm.”

TikTok – Where Gen Z and Millennials Shape Modern Consumer Trends

Gen Z and Millennials have become the two main consumer forces, reshaping how brands approach, communicate with, and build customer loyalty. They are not just buyers—they are also creators, inspirers, and the center of every conversation on social media.

According to a report by We Are Social x Meltwater (February 2025), TikTok users in Vietnam are heavily concentrated in two main age groups: ages 18–24 account for 23%, including 11.3% female and 11.7% male users; meanwhile, the 25–34 age group accounts for 32.9%, including 16.0% female and 16.9% male users. Thus, more than 55% of TikTok users in Vietnam are between 18 and 34 years old—a clear indication that TikTok is not only an entertainment platform, but also a strategic channel for brands to connect with, research, and accompany today’s most dynamic and influential young consumer generation.

Why Does TikTok Have Such Deep Influence on Consumer Behavior?

TikTok has a profound influence on consumer behavior because it possesses a highly personalized content distribution mechanism that drives engagement and natural emotional spread. User-generated content (UGC) offers authenticity and is easier to trust than traditional advertising. Viral trends such as #TikTokMadeMeBuyIt can lead to purchase decisions in just minutes.

In addition, features like duet, stitch, and comments make users part of the brand story. More importantly, content-based search behavior rather than product-based search helps brands be discovered naturally. TikTok not only affects what young people watch, but also shapes how they shop, evaluate, and share products, becoming an ideal “behavior radar station” for brands to understand new-generation consumers.

How to Research Consumer Behavior on TikTok?

Researching consumers on TikTok is no longer simply about observing trends or counting views—it requires a multi-layered, continuous, and contextual analysis system. 

1. Content and Trend Analysis (Content & Trend Analysis)

Brands can start by monitoring:

  • Trending hashtags in the category, target community, or those indirectly related to products/services.

  • Popularly used sounds, because many TikTok trends are tied to a signature music clip—thereby expressing emotions or messages behind sharing behavior.

  • Viral content types: reviews, challenges, tutorials, parody, etc.—each format reflects a different type of consumer behavior (discovery, validation, sharing).

2. Tracking Community Interaction (User Behavior & Engagement Signals)

Analyzing comments, shares, and responses (reaction, duet, stitch) helps brands:

  • Capture consumers’ real emotions when faced with products, content, or messages.

  • Discover implicit insights from how users agree or argue back.

  • Identify potential customer segments and community influencers (micro-KOLs) spreading new consumption trends.

3. Classifying Behavior by Consumer Journey (Customer Journey Mapping)

Data from TikTok can be systematized by each stage of consumer behavior:

  • At the Awareness stage, consumers are often exposed to content such as trend-introduction videos, creative ads, or viral hashtags. 

  • At the Consideration stage, they watch review videos, compare products, and consult community opinions in the comment section. 

  • At the Action stage, conversion behavior becomes more evident through clicking links in bio, purchasing via livestream, or following accounts. 

  • At the Loyalty stage, users tend to create brand-related content themselves, share experiences, and provide feedback in video form, contributing to organic community spread.

Applying Social Listening to Systematize Behavioral Data on TikTok

TikTok delivers a massive, continuous, and behavior-rich volume of data—from videos, captions, and sounds to comments and hashtag trends. However, due to its “unstructured data” nature and high volatility speed, effectively extracting and using this information requires analytical technology intervention—specifically Social Listening.

The Role of Social Listening in the TikTok Context

  1. Standardizing and structuring unstructured data: Social Listening helps convert short videos and comments into quantifiable or categorizable data—laying the foundation for trend and behavior analysis.

  2. Analyzing discussion topics and sentiment: Social Listening uses Natural Language Processing (NLP) technology combined with AI to identify sentiment and context surrounding a brand or topic.

  3. Connecting cross-platform data: One of Social Listening’s greatest strengths is its ability to connect multi-platform data: TikTok is only one of many channels where consumers interact. Integrating information from other platforms such as Facebook, Instagram, YouTube, forums, news media, etc. helps brands determine consistency in behavior or sentiment, identify signs of change along the customer journey, and see whether trends on TikTok spread to other platforms and vice versa.

  4. Generating actionable insight
    Ultimately, Social Listening does not stop at describing data—it aims to interpret causes, forecast outcomes, and recommend actions. Brands can use analytical models to:

    • Track message spread levels

    • Forecast communication risks early

    • Identify key influential audiences or communities

    • Optimize content or advertising strategies for each consumption stage

Social Listening on TikTok – A Golden Opportunity for Brands to Understand and Accompany the New Consumer Generation

In an era where consumers continuously express opinions, emotions, and needs through digital behavior—TikTok has become the clearest channel reflecting consumer movement. To keep up with and stay proactive before these changes, brands need more than presence—they need the capability to listen and analyze behavior in real time. Social Listening is the strategic tool that turns data into actionable insight. 

Kompa provides a multi-platform Social Listening solution, supporting businesses in tracking data from TikTok and many other social channels—thereby deeply understanding target consumers, measuring campaign effectiveness, managing reputation, and leading trends.

In a context where TikTok has become the platform dominating young people’s attention, brands not only need to be present—they must deeply understand, appear at the right moment, lead trends, and speak the same language as customers. One strategic tool to achieve this is Social Listening—especially when applied correctly on the short-video platform that is “taking the world by storm.”

TikTok – Where Gen Z and Millennials Shape Modern Consumer Trends

Gen Z and Millennials have become the two main consumer forces, reshaping how brands approach, communicate with, and build customer loyalty. They are not just buyers—they are also creators, inspirers, and the center of every conversation on social media.

According to a report by We Are Social x Meltwater (February 2025), TikTok users in Vietnam are heavily concentrated in two main age groups: ages 18–24 account for 23%, including 11.3% female and 11.7% male users; meanwhile, the 25–34 age group accounts for 32.9%, including 16.0% female and 16.9% male users. Thus, more than 55% of TikTok users in Vietnam are between 18 and 34 years old—a clear indication that TikTok is not only an entertainment platform, but also a strategic channel for brands to connect with, research, and accompany today’s most dynamic and influential young consumer generation.

Why Does TikTok Have Such Deep Influence on Consumer Behavior?

TikTok has a profound influence on consumer behavior because it possesses a highly personalized content distribution mechanism that drives engagement and natural emotional spread. User-generated content (UGC) offers authenticity and is easier to trust than traditional advertising. Viral trends such as #TikTokMadeMeBuyIt can lead to purchase decisions in just minutes.

In addition, features like duet, stitch, and comments make users part of the brand story. More importantly, content-based search behavior rather than product-based search helps brands be discovered naturally. TikTok not only affects what young people watch, but also shapes how they shop, evaluate, and share products, becoming an ideal “behavior radar station” for brands to understand new-generation consumers.

How to Research Consumer Behavior on TikTok?

Researching consumers on TikTok is no longer simply about observing trends or counting views—it requires a multi-layered, continuous, and contextual analysis system. 

1. Content and Trend Analysis (Content & Trend Analysis)

Brands can start by monitoring:

  • Trending hashtags in the category, target community, or those indirectly related to products/services.

  • Popularly used sounds, because many TikTok trends are tied to a signature music clip—thereby expressing emotions or messages behind sharing behavior.

  • Viral content types: reviews, challenges, tutorials, parody, etc.—each format reflects a different type of consumer behavior (discovery, validation, sharing).

2. Tracking Community Interaction (User Behavior & Engagement Signals)

Analyzing comments, shares, and responses (reaction, duet, stitch) helps brands:

  • Capture consumers’ real emotions when faced with products, content, or messages.

  • Discover implicit insights from how users agree or argue back.

  • Identify potential customer segments and community influencers (micro-KOLs) spreading new consumption trends.

3. Classifying Behavior by Consumer Journey (Customer Journey Mapping)

Data from TikTok can be systematized by each stage of consumer behavior:

  • At the Awareness stage, consumers are often exposed to content such as trend-introduction videos, creative ads, or viral hashtags. 

  • At the Consideration stage, they watch review videos, compare products, and consult community opinions in the comment section. 

  • At the Action stage, conversion behavior becomes more evident through clicking links in bio, purchasing via livestream, or following accounts. 

  • At the Loyalty stage, users tend to create brand-related content themselves, share experiences, and provide feedback in video form, contributing to organic community spread.

Applying Social Listening to Systematize Behavioral Data on TikTok

TikTok delivers a massive, continuous, and behavior-rich volume of data—from videos, captions, and sounds to comments and hashtag trends. However, due to its “unstructured data” nature and high volatility speed, effectively extracting and using this information requires analytical technology intervention—specifically Social Listening.

The Role of Social Listening in the TikTok Context

  1. Standardizing and structuring unstructured data: Social Listening helps convert short videos and comments into quantifiable or categorizable data—laying the foundation for trend and behavior analysis.

  2. Analyzing discussion topics and sentiment: Social Listening uses Natural Language Processing (NLP) technology combined with AI to identify sentiment and context surrounding a brand or topic.

  3. Connecting cross-platform data: One of Social Listening’s greatest strengths is its ability to connect multi-platform data: TikTok is only one of many channels where consumers interact. Integrating information from other platforms such as Facebook, Instagram, YouTube, forums, news media, etc. helps brands determine consistency in behavior or sentiment, identify signs of change along the customer journey, and see whether trends on TikTok spread to other platforms and vice versa.

  4. Generating actionable insight
    Ultimately, Social Listening does not stop at describing data—it aims to interpret causes, forecast outcomes, and recommend actions. Brands can use analytical models to:

    • Track message spread levels

    • Forecast communication risks early

    • Identify key influential audiences or communities

    • Optimize content or advertising strategies for each consumption stage

Social Listening on TikTok – A Golden Opportunity for Brands to Understand and Accompany the New Consumer Generation

In an era where consumers continuously express opinions, emotions, and needs through digital behavior—TikTok has become the clearest channel reflecting consumer movement. To keep up with and stay proactive before these changes, brands need more than presence—they need the capability to listen and analyze behavior in real time. Social Listening is the strategic tool that turns data into actionable insight. 

Kompa provides a multi-platform Social Listening solution, supporting businesses in tracking data from TikTok and many other social channels—thereby deeply understanding target consumers, measuring campaign effectiveness, managing reputation, and leading trends.

Social Listening Demo & Free implementation consultation

Social Listening Demo & Free implementation consultation

Social Listening Demo & Free implementation consultation

Sustainable brand growth with Kompa

Sustainable brand growth with Kompa

Sustainable brand growth with Kompa

Spot opportunities early – Respond promptly to risks – Optimise communication effectiveness!

Spot opportunities early – Respond promptly to risks – Optimise communication effectiveness!

Spot opportunities early – Respond promptly to risks – Optimise communication effectiveness!

50%

50%

Brand awareness and engagement level

Brand awareness and engagement level

80%

80%

Time to detect and manage a communications crisis

Time to detect and manage a communications crisis

35%

35%

Marketing campaign effectiveness thanks to real-time data

Marketing campaign effectiveness thanks to real-time data

50%

Brand awareness and engagement level

80%

Time to detect and manage a communications crisis

35%

Marketing campaign effectiveness thanks to real-time data

From Social Listening to AI Data Intelligence:

Helping businesses make smart, fast, and comprehensive decisions.

Hotline: 098.130.6460 (Kompa Sales)

Contact for services, quotations, or media partnerships: info@kompa.ai

Copyright © 2025 Kompa.
All Rights Reserved

From Social Listening to AI Data Intelligence:

Helping businesses make smart, fast, and comprehensive decisions.

Hotline: 098.130.6460 (Kompa Sales)

Contact for services, quotations, or media partnerships: info@kompa.ai

Copyright © 2025 Kompa.
All Rights Reserved

From Social Listening to AI Data Intelligence:

Helping businesses make smart, fast, and comprehensive decisions.

Hotline: 098.130.6460 (Kompa Sales)

Contact for services, quotations, or media partnerships: info@kompa.ai

Copyright © 2025 Kompa.
All Rights Reserved